title: A semantic medical multimedia retrieval approach using ontology information hiding.
abstract: Searching useful information from unstructured medical multimedia data has been a difficult problem in information retrieval. This paper reports an effective semantic medical multimedia retrieval approach which can reflect the users' query intent. Firstly, semantic annotations will be given to the multimedia documents in the medical multimedia database. Secondly, the ontology that represented semantic information will be hidden in the head of the multimedia documents. The main innovations of this approach are cross-type retrieval support and semantic information preservation. Experimental results indicate a good precision and efficiency of our approach for medical multimedia retrieval in comparison with some traditional approaches.
authors.affiliation: School of Information Science & Engineering, Central South University, Changsha 410083, China.
authors.forename: Kehua
authors.initials: K
authors.lastname: Guo
authors.forename: Shigeng
authors.initials: S
authors.lastname: Zhang
mesh_terms: D016208:Databases, Factual / Q000706:statistics & numerical data; D006801:Humans; D016247:Information Storage and Retrieval / Q000706:statistics & numerical data*; D019212:Multimedia / Q000706:statistics & numerical data*; D012660:Semantics